Yuxin Cui

Materials Chemistry · 2018–2020

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 17 citations into it

Whom Yuxin Cui trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Xavier Glorot
2. Logan T. Ward
3. Olaf Ronneberger
4. Yoshua Bengio
5. Fuyong Xing
6. Yousef Al-Kofahi
7. M. Veta
8. Kaiming He
9. Diederik P. Kingma
10. Geoffrey E. Hinton

Who trusts Yuxin Cui overall

1. Massimo Salvi

Papers from Yuxin Cui's perspective

Ordered by how strongly the researchers Yuxin Cui trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation (2020) — 300 citations
• Limited Data Rolling Bearing Fault Diagnosis With Few-Shot Learning (2019) — 349 citations
• A deep learning algorithm for one-step contour aware nuclei segmentation of histopathology images (2018) — 125 citations